Clinical Decision Support System for Patient-Ventilator Asynchrony Detection and Management

a technology of patient-ventilator synchronization and decision support system, which is applied in the field of clinical decision support system for patient-ventilator synchronization detection and management, can solve the problem of inability to monitor mechanically ventilated patients continuously by clinical sta

Active Publication Date: 2020-08-20
AUTONOMOUS HEALTHCARE INC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

[0006]An embodiment described of the system further includes a graphical user interface (GUI) for communicating detected patient-ventilator asynchrony whereby the system can be used as a...

Problems solved by technology

However, continuous monitoring of mechanically...

Method used

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  • Clinical Decision Support System for Patient-Ventilator Asynchrony Detection and Management
  • Clinical Decision Support System for Patient-Ventilator Asynchrony Detection and Management
  • Clinical Decision Support System for Patient-Ventilator Asynchrony Detection and Management

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Embodiment Construction

[0030]Respiratory failure can occur as a result of numerous factors, and patients in intensive care units (ICUs) are frequently placed on mechanical ventilators. Mechanical ventilation helps maintain lung function. Patient-ventilator asynchrony, also referred to as dyssynchrony, refers to a mismatch between ventilator delivery and patient demand. Patient-ventilator asynchrony can cause discomfort, and is associated with longer lengths of stay in ICUs. To address patient-ventilator asynchrony, clinicians can adjust ventilator settings or ventilation modes, change a patient's sedation level, or perform other interventions. Asynchrony can be detected by continuous monitoring of patients and using waveforms generated by mechanical ventilators. However, continuous monitoring of mechanically ventilated patients by clinical staff is infeasible.

[0031]The detection of asynchrony and the type of asynchrony requires specific training and knowledge of waveform analysis. If patient-ventilator as...

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Abstract

The present disclosure describes a system that automatically detects patient-ventilator asynchrony and trends in patient-ventilator asynchrony. The present disclosure describes a framework that uses pressure, flow, and volume waveforms to detect patient-ventilator asynchrony and the presence of secretions in the ventilator circuit.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS[0001]This application relies on the disclosure of and claims priority to and the benefit of the filing date of U.S. Provisional Application No. 62 / 583,558, filed Nov. 9, 2017, the disclosure of which is incorporated by reference herein in its entirety.GOVERNMENT RIGHTS[0002]This invention was made with the support of the United States government under Grant number IIP-1456404 by the National Science Foundation. The government has certain rights in the invention.BACKGROUND[0003]Patient-ventilator asynchrony, also referred to as dyssynchrony, refers to a mismatch between ventilator delivery and patient demand. To address patient-ventilator asynchrony, clinicians can adjust ventilator settings or ventilation modes, change a patient's sedation level, or perform other interventions. However, continuous monitoring of mechanically ventilated patients by clinical staff is infeasible.INCORPORATION BY REFERENCE[0004]All publications, patents, and patent...

Claims

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Application Information

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IPC IPC(8): A61M16/00G16H20/40
CPCG16H20/40A61M16/026A61M2016/0027A61M2016/0033A61M2205/52A61M16/024A61M2205/502A61M2205/3584A61M2205/3379A61M2205/583A61M2205/3561A61M2210/105A61M16/0051A61M2230/60A61M2210/1014G16H50/20G16H40/63A61M16/0057
Inventor GHOLAMI, BEHNOODPHAN, TIMOTHY S.
Owner AUTONOMOUS HEALTHCARE INC
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